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AI Engineer with less than a year in Python, MERN Stack & AI/ML Systems
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer focused on backend systems, REST APIs, and scalable AI applications. Experienced in the MERN stack, Python, and real-time data pipelines. Proven ability to build modular, high-performance architectures, develop autonomous AI agent workflows, and optimize system reliability for data-intensive applications.
CGC University
B.Tech · Computer Science
August 1, 2023 – June 30, 2027
Vidyutam Verde NCESOL
Edge AI Intern
March 1, 2026 – Present
Mohali, Punjab, India
Code Shift IT Solutions
Full-Stack Intern
May 1, 2025 – July 1, 2025
Mohali, Punjab, India
Agentic AI Travel Planner
January 1, 2026 – Present
Built an autonomous itinerary generation engine using LangChain and GPT-4 to dynamically resolve strict user constraints. Developed a decoupled FastAPI backend with clean RESTful boundaries to execute high-performance tool-calling workflows. Applied prompt engineering and chain-of-thought processing to ensure highly reliable, hallucination-free JSON outputs.
View ProjectPlacify (Placement Management Portal)
January 1, 2026 – Present
Designed a comprehensive college placement platform with Role-Based Access Control (RBAC) and Docker deployment. Implemented real-time WebSocket communication via Socket.io for live notifications and dynamic interview coordination. Built modular backend microservices in Express to process high volumes of student records and concurrent API requests. Developed a multi-tenant React dashboard using Chart.js to visualize and track complex placement metrics.
View ProjectSQL
HackerRank
June 1, 2026 – Present
AWS Academy Generative AI Foundations
AWS Academy
June 1, 2026 – Present
Getting Started with Artificial Intelligence
IBM
June 1, 2026 – Present
MongoDB Program
MongoDB
June 1, 2026 – Present
Oracle Databases for Developers (90% Score)
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in hackathons, community leadership, and diverse academic projects (full-stack and AI) suggests a proactive, collaborative, and learning-oriented individual. This aligns well with a dynamic and innovative engineering culture. The focus on AI and data processing indicates a strong interest in cutting-edge technologies, which is a good fit for an AI Engineer role. The academic background and certifications further reinforce a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through LeetCode achievements and hackathon participation. Leadership roles in community events suggest good organizational and teamwork capabilities. The ability to work on diverse projects (full-stack and AI) indicates adaptability and a broad technical interest. However, with limited professional experience, the operational fit for a senior role would require further validation of independent decision-making and project ownership.